Ethics of AI (2 cr)
Code: HB00BO84-3005
General information
Enrollment
01.08.2023 - 31.07.2024
Timing
28.08.2023 - 20.05.2024
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Teachers
- Juha Saukkonen
- Jay Panjwani
Groups
-
HBI21S1Degree Programme in International Business
-
HBI23S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
Objective
The course studies the ethical aspects of AI: What AI ethics means, what elements and viewpoints should be included in the development of ethically sound AI. The course also sparks the student to formulate own ideas and opinions and argument about AI from an ethical point of view.
MOOC-platform for the course at:
https://buildingai.elementsofai.com/
Content
What dilemmas and viewpoints does the ethical angle bring into AI development and usage.
The course includes topical sub-sections, each containing
- exercises
- own elaboration on AI use case examples (to be peer reviewed by other course members)
- peer reviews (reviewing and assessing other students´ work)
Location and time
continously open MOOC course available at: https://ethics-of-ai.mooc.fi/
Oppimateriaali ja suositeltava kirjallisuus
material and recommended readings given at: https://ethics-of-ai.mooc.fi/
Teaching methods
online self-paced study
Exam schedules
no exam. Passing the course based on multiplication: Percentage of exercises done X percentage of correctness of exercised. Minimum 45 %/100 to pass.
Course results from MOOC interface need to be shared with the responsible teacher. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
Student workload
workload some 50 hours as a se-f-paced online study
Further information
The assessment of the grades will be carried out during spring and fall semester end i.e., May and December. In case of further queries please do contact Mr Juha Saukkonen or Jay Panjwani.
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Passing based on the Certificate created by the course online platform - getting the certificate demands:
- 90 % of exercises done
- 50 % of exercises answered correctly
Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
Qualifications
Elements of AI - and Building AI -MOOC-courses recommended but not obligatory
Further information
The course is a 1/3 of AI-MOOC studies. The other elements are:
- Elements of AI
- Building AI